code: def GradientBoostingRegressor_f():
      return GradientBoostingRegressor
  
file_path: Hyperactive/examples/optimization_applications/model_selection.py
imports: from sklearn.model_selection import cross_val_score
  from sklearn.svm import SVR
  from sklearn.neighbors import KNeighborsRegressor
  from sklearn.gaussian_process import GaussianProcessRegressor
  from sklearn.tree import DecisionTreeRegressor
  from sklearn.ensemble import GradientBoostingRegressor, RandomForestRegressor, ExtraTreesRegressor
  from sklearn.neural_network import MLPRegressor
  from sklearn.datasets import load_diabetes
  from hyperactive import Hyperactive
label_desc: Use image node_id 6 for calling a global function with example usage: GradientBoostingRegressor_f() and returns: GradientBoostingRegressor